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Coda mit ChatGPT verbinden — über MCP

Drive Coda (docs + tables + formulas) from any AI agent: docs, tables, rows, columns, formulas, packs, controls. 13 tools, Bearer token auth.

HCBy HelpCode teamUpdated 2 min read Open source on GitHub

No credit card · 7-day trial · Self-host alternative available

MCP connector

Coda

Drive Coda (docs + tables + formulas) from any AI agent: docs, tables, rows, columns, formulas, packs, controls. 13 tools, Bearer token auth.

Tools

13

Region

INTL

Category

project-management

Authentication

Required env vars

CODA_API_TOKEN
Install in one click on Cloud

7-day free trial · No credit card

  • 7-day free trial
    No credit card required
  • GDPR & SOC 2 ready
    EU data residency, audit logs
  • Open-source on GitHub
    Source-available BSL-1.1
  • Works with ChatGPT, Claude, Gemini
    Any MCP-compatible client

No install? Use cloud.anythingmcp.com directly.

Sign in, install the Coda in one click, paste the credentials, mint an MCP API key — done. No Docker, no git clone, no local server to run.

Open Cloud

💡 Keine Installation? Nutze cloud.anythingmcp.com direkt. Einloggen, Connectors → Coda klicken, Zugangsdaten einfügen, MCP-API-Key erzeugen — fertig. Kein Docker, kein git clone, kein lokaler Server.

Coda + ChatGPT

Drive Coda (docs + tables + formulas) from any AI agent: docs, tables, rows, columns, formulas, packs, controls. 13 tools, Bearer token auth.

Voraussetzungen

Die vollständige Setup-Anleitung ist in den Connector eingebaut (im Store sichtbar, wenn du den Connector auswählst). Benötigte Umgebungsvariablen für diesen Connector:

CODA_API_TOKEN

Schritt 1 — Zugangsdaten holen

io/developers/apis/v1).

Setup:

  1. Sign in to https://coda.io → top-right avatar → Account → API settings → Generate API token.
  2. Name the token. Copy it. Set CODA_API_TOKEN.

Authentication: Authorization: Bearer ${CODA_API_TOKEN}.

Resource hierarchy: Doc → Section (Page) → Table → Row → Cell. Coda's twist: tables are first-class with structured columns and types; rows are addressable individually; columns can hold formulas.

Doc IDs look like dXXXXXXXXXX (10-char prefix d). Visible in the doc URL.

Table IDs look like grid-XXXXX. Discover via coda_list_tables(docId).

…(continued in the in-app connector instructions)

Schritt 2 — Adapter installieren

git clone https://github.com/HelpCode-ai/anythingmcp.git
cd anythingmcp && docker compose up -d

Schritt 3 — Connector in ChatGPT hinzufügen

ChatGPT unterstützt MCP-Server über die Connectors-Funktion (Plus-/Pro-/Team-/Enterprise-Pläne). Der kostenlose Tarif unterstützt keine eigenen Connectors.

  1. Öffne ChatGPT → Einstellungen → Connectors (oder klicke das 🔧-Icon im Composer → Manage connectors).
  2. Klicke "Add custom connector".
  3. Trage ein:
    • Name: Coda
    • MCP server URL: https://cloud.anythingmcp.com/mcp
    • Authentication: Bearer Token → MCP-API-Key einfügen (aus AnythingMCP → Profile → MCP API Keys → New Key)
  4. Klicke Connect zum Autorisieren.

Verfügbare Tools

ToolWhat it does
coda_whoamiReturn the user the token belongs to
coda_list_docsList docs the user can access
coda_get_docFetch a single doc by ID
coda_list_tablesList tables in a doc
coda_list_columnsList columns in a table
coda_list_rowsList rows in a table or view
coda_get_rowFetch a single row by ID
coda_insert_rowsInsert (or upsert with keyColumns) rows into a table
coda_update_rowUpdate a specific row by ID
coda_delete_rowDelete a single row by ID
coda_delete_rowsBulk-delete rows by IDs (more efficient than per-row)
coda_get_formula_resultEvaluate a named formula on a doc
coda_get_mutation_statusCheck the status of an async mutation (insert/update/delete) by its requestId returned from those calls

FAQ

Funktioniert der kostenlose ChatGPT-Tarif mit eigenen MCP-Connectors? Nein — Plus, Pro, Team oder Enterprise erforderlich.

Nächste Schritte

Ready to ship

Your Coda agent is one click away.

Install the connector, paste the key, prompt ChatGPT. Free for 7 days, no credit card.